Results 21 to 30 of about 164,333 (266)
Medien & Kommunikationswissenschaft, 2015 This study examines the selection behaviour of people using search engines. Most of the time, search engines are the key to researching information online.
Alexander Haas, Julian Unkel
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Semiparametric cointegrating rank selection [PDF]
Econometrics Journal, 2009 Summary: Some convenient limit properties of usual information criteria are given for cointegrating rank selection. Allowing for a nonparametric short memory component and using a reduced rank regression with only a single lag, standard information criteria are shown to be weakly consistent in the choice of cointegrating rank provided the penalty ...
CHENG, Xu, Peter C. B. PHILLIPS
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Benchmarking criteria for evaluating third-party logistics providers in South Africa
Journal of Transport and Supply Chain Management, 2017 Background: In South Africa, deemed the ‘gateway to Africa’, there is limited evidence of the existence of a survey ranking third-party logistics providers (3PLs).
Claudia Karrapan +3 more
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IEEE Access, 2021 Cloud service selection and ranking are two different but related important tasks in the realm of cloud computing. Given the rapid growth in the number of available services offered by cloud providers with different quality of service, these tasks are ...
Abdulaziz Alashaikh, Eisa Alanazi
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A study of oil and gas producers subsector portfolio using the trade-off ranking method [PDF]
Yugoslav Journal of Operations ResearchIn the topic of stock selection, numerous multi-criteria decision-making (MCDM) techniques have been applied to handle selection difficulties. This paper proposes a compromise approach for the subsector stocks of oil and gas companies, motivated by the ...
Ibrahim Muhammad Akram Ramadhan +2 more
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A Ranking Approach to Genomic Selection
PLOS ONE, 2015 Genomic selection (GS) is a recent selective breeding method which uses predictive models based on whole-genome molecular markers. Until now, existing studies formulated GS as the problem of modeling an individual's breeding value for a particular trait of interest, i.e., as a regression problem.
Mathieu Blondel +3 more
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Hierarchical feature selection for ranking [PDF]
Proceedings of the 19th international conference on World wide web, 2010 Ranking is an essential part of information retrieval(IR) tasks such as Web search. Nowadays there are hundreds of features for ranking. So learning to rank(LTR), an interdisciplinary field of IR and machine learning(ML), has attracted increasing attention.
Guichun Hua +4 more
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Learning to Select Supplier Portfolios for Service Supply Chain.
PLoS ONE, 2016 The research on service supply chain has attracted more and more focus from both academia and industrial community. In a service supply chain, the selection of supplier portfolio is an important and difficult problem due to the fact that a supplier ...
Rui Zhang +3 more
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Learning to Select a Ranking Function [PDF]
, 2010 Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly applied to all queries, many studies have shown that different ranking functions favour different queries, and the retrieval performance can be significantly enhanced if an appropriate
Jie Peng 0003 +2 more
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Contingency selection and ranking for composite power system reliability evaluation
Journal of King Saud University: Engineering Sciences, 2020 In this paper, a probabilistic performance index (PI) has been developed to perform contingency selection and ranking. The results show that considering up to the second level contingency is satisfactory for both accuracy and computation time ...
Abdullah M. Al-Shaalan
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